Author: Dhanshree Shripad Shenwai

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Dhanshree Shenwai is a Computer Science Engineer and has a good experience in FinTech companies covering Financial, Cards & Payments and Banking domain with keen interest in applications of AI. She is enthusiastic about exploring new technologies and advancements in today’s evolving world making everyone's life easy.

Generative AI Now Powers Shutterstock’s Creative Platform: Making Visual Content Creation Effortless

Shutterstock is a well-established creative platform that can offer a lot to businesses in the media and marketing industries. With over 2 million contributors,...

Meet TxGNN: A New Model that Utilizes Geometric Deep Learning and Human-Centered AI to Make Zero-Shot Predictions of Therapeutic Use Across a Vast Range...

There is an urgent need to create therapeutics to meet the healthcare needs of billions of people worldwide. Yet, only a small fraction of...

Researchers From ETH Zurich and Microsoft Propose X-Avatar: An Animatable Implicit Human Avatar Model Capable of Capturing Human Body Pose and Facial Expressions

Pose, look, facial expression, hand gestures, etc.—collectively called "body language”—has been the subject of many academic investigations. Accurately recording, interpreting, and creating non-verbal signals...

Meet ChatGLM: An Open-Source NLP Model Trained on 1T Tokens and Capable of Understanding English/Chinese

ChatGLM (alpha internal test version: QAGLM) is a chat robot designed specifically for Chinese users. It uses a 100 billion Chinese-English language model with...

Meet LangFlow: An Open Source UI for LangChain AI

Now that we know a lot more about language models, it's becoming obvious that they can completely change the way applications are made. Only...

Researchers From John Hopkins Use Brain Cells To Develop Biological Computers

Although human brains are inferior to computers when processing simple information like mathematics, they excel when processing complicated information because they are better equipped...

Data Labeling and AI Revolution (2023)

What is Data labeling? Data labeling is employed for machine learning algorithms to identify and comprehend objects properly. Face recognition, autonomous driving, aerial drones, robotics,...

Meet Prismer: An Open Source Vision-Language Model with An Ensemble of Experts

Several recent vision-language models have demonstrated remarkable multi-modal generation abilities. But typically, they call for training enormous models on enormous datasets. Researchers introduce Prismer,...

A New AI Research from UC Berkeley Proposes A D5 Task And A Benchmark Dataset To Make LLMs Do Research

The methods used to mine huge databases for new insights are ad hoc and time-consuming. These kinds of discoveries may be made more quickly...

A New AI Research from Microsoft Presents an Experimental Study Regarding the use of OpenAI’s ChatGPT for Robotics Applications

Large language models (LLMs) like BERT, GPT-3, and Codex have been made possible by the tremendous progress in NLP, transforming several fields. These models...

CMU Researchers Propose DocPrompting: A Natural Language To Code Generation Approach By Retrieving Code Documentation

The source code libraries available to the public are always evolving and expanding. Thus, it is hard for code models to stay up-to-date with...

Meet ResMem: A New AI Algorithm that Augments an Existing Prediction Model by Fitting the Model’s Residuals with a K-Nearest Neighborbased Regressor

Modern big neural networks' phenomenal results in generalizing new data and tasks have been attributed to their innate capacity to recall intricate training patterns...

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